Posted at: 20 May
Machine Learning Engineer Specialist– Recommendation Systems
Company
Mutt Data is an Argentina-based B2B technology startup specializing in custom AI and machine learning solutions for e-commerce and retail media.
Remote Hiring Policy:
Mutt Data supports fully remote work for employees based in Argentina, hiring exclusively from this region.
Job Type
Full-time
Full-timeAllowed Applicant Locations
Argentina
ArgentinaJob Description
🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
We’re looking for a Machine Learning Engineer Specialist to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
🚀 What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
🌟 Our Values
Responsibilities 🤓
- Design, build, and maintain production recommendation systems at consumer scale.
- Develop ranking and retrieval models to improve personalization and user experience.
- Own ML pipelines end-to-end, from feature engineering and training to deployment and monitoring.
- Collaborate with client stakeholders and engineering teams to deliver scalable ML solutions.
- Analyze large-scale user behavior data and run A/B tests to optimize recommendation performance.
- Improve reliability, scalability, and latency of production ML systems on AWS/GCP/Azure.
Required Skills
- 6 years of experience in Software/Data Engineering or ML roles.
- 4+ years building and operating ML systems in production.
- 2-3+ years working on recommendation systems, ranking, retrieval, or personalization.
- Strong Python and SQL skills. Experience with PyTorch or TensorFlow.
- Experience deploying ML systems on AWS, GCP, or Azure.
- Experience working with large-scale consumer data and production environments.
- Advanced English level and ability to work autonomously with stakeholders.
- Experience in e-commerce, adtech, martech, or consumer products.
- Experience with A/B testing, feature stores, Spark, or low-latency inference systems.
🎁 Perks
- Remote-first culture – work from anywhere! 🌍
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! 🏖️)
- Referral bonuses – help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.